Published March 2026 | Version v2
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The Geometry of Feeling: A Phenomenological Guide to Constraint Dynamics

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Description

Description

Geometry of Feeling is a formal phenomenological framework describing affective experience as a geometric readout of constraint dynamics in bounded cognitive systems.

Rather than treating feelings as messages, appraisals, or narrative content, this work models affect as instrumentation: continuous signals that report the local shape, tension, and rate of change within a system constrained by space, time, and energy.

The central claim is that feelings do not tell us what to think or do. They tell us what the system can currently afford.

This paper introduces a minimal geometric formalism in which:

  • Valence corresponds to energetic gradient (Θ)

  • Arousal corresponds to temporal compression or dilation (Γ)

  • Clarity / coherence corresponds to spatial metric stability (Λ)

  • Emotions are defined as first derivatives of constraint change

  • Moods are defined as integrated steady states of constraint geometry

Within this framework, anxiety, sadness, relief, joy, dread, and calm are not categorical emotions but phase-space signatures of constrained inference under cost.

Relationship to The Outlines of Sanity

Geometry of Feeling is a companion and extension to The Outlines of Sanity: A Constraint Dynamics Theory of Consciousness and Mental Illness (Zenodo, Version 13).

Where Outlines of Sanity establishes the physical and clinical necessity of three fundamental constraints (Λ, Γ, Θ) and their role in maintaining cognitive coherence, Geometry of Feeling addresses a complementary question:

Why does conscious experience feel the way it does when those constraints shift?

The two works are formally compatible but independently readable:

  • Outlines of Sanity focuses on system stability, failure modes, and clinical prediction.

  • Geometry of Feeling focuses on lived phenomenology, affective texture, and subjective experience.

Together, they form a unified research program linking physics, neuroscience, phenomenology, and psychiatry without reducing experience to narrative or metaphor.

Key Contributions

  • A non-representational model of affect grounded in constraint dynamics

  • A principled distinction between emotion (change) and mood (state)

  • A geometric explanation for affective distortions in depression, anxiety, trauma, and dissociation

  • A formal account of why emotional reasoning fails under energetic constraint

  • Implications for psychotherapy, music perception, meditation, and embodied cognition

Intended Audience

This work is intended for researchers and clinicians in:

  • Consciousness science

  • Psychiatry and psychology

  • Computational neuroscience

  • Philosophy of mind

  • Complex systems and control theory

It may also be of interest to artists and theorists working at the intersection of emotion, time, and form.

Status

This manuscript presents a theoretical and formal framework. While grounded in established neurophysiological and thermodynamic principles, its primary contribution is conceptual clarity and testable structure. Empirical validation is an explicit goal of future work..

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Preprint: 10.5281/zenodo.18256056 (DOI)

References

  • [1] Hafting, T., Fyhn, M., Molden, S., Moser, M. B., & Moser, E. I. (2005). Microstructure of a spatial map in the entorhinal cortex. Nature, 436(7052), 801-806. [2] Buzs´aki, G., & Wang, X. J. (2012). Mechanisms of gamma oscillations. Annual Review of Neuroscience, 35, 203-225. [3] Friston, K. (2010). The free-energy principle: a unified brain theory? Nature Reviews Neuroscience, 11(2), 127-138. [4] Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., ... & Knight, R. T. (2006). High gamma power is phase-locked to theta oscillations in human neocortex. Science, 313(5793), 1626-1628. [5] Thayer, J. F., & Lane, R. D. (2009). Claude Bernard and the heart-brain connection. Neuroscience & Biobehavioral Reviews, 33(2), 81-88. [6] Tada, M., Kirihara, K., Mizutani, S., Uka, T., Kunii, N., Koshiyama, D., ... & Kasai, K. (2022). Gamma-band auditory steady-state response as a candidate biomarker for transi tion to psychosis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7(4), 391-399. 1